Bioinformatics Scientist

Overview

Tract Bio, located in The Pearl Innovation District in Charlotte, NC, is seeking a highly motivated Bioinformatics Scientist to join our growing team. Tract Bio Therapeutics is a fast- growing startup developing novel small-molecule therapeutics. This position offers the opportunity to contribute to cutting-edge projects with direct translational impact.

Key Responsibilities

· Integrate genomics, proteomics, and epigenomics data to identify and validate novel therapeutic targets for small-molecule intervention.

· Lead the analysis of large-scale datasets, specifically focusing on Whole Genome Sequencing (WGS), GWAS, ChIP-seq, and ATAC-seq to uncover regulatory mechanisms.

· Develop and maintain reproducible pipelines tailored for execution on standalone Linux servers.

· Administer the company’s on-premise multi-server Ubuntu environment, ensuring high availability and security for the R&D team.

· Partner with chemists and biologists to interpret biological data, guide mechanism-of- action studies, and support decision-making.

Required Qualifications

· Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field; OR M.S. with 3+ years of relevant industry experience.

· Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.

· Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.

· Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.

Preferred Qualifications

· Ph.D. with 2+ years of post-graduate industry experience in biotech or pharma.

· A strong publication record (e.g., 2+ first-author publications in peer-reviewed journals) demonstrating the ability to lead projects and communicate scientific findings.

· Deep understanding of molecular biology, immunology, or oncology

· Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).

· Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.

Pay: $110,000.00 - $130,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Health savings account
• Life insurance
• Relocation assistance
• Retirement plan
• Vision insurance

Application Question(s):

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related field; OR M.S. with 3+ years of relevant industry experience.

Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.

Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.

Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.

Deep understanding of molecular biology, immunology, or oncology.

Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).

Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.

Education:

• Doctorate (Preferred)

Security clearance:

• Confidential (Required)

Ability to Relocate:

• Charlotte, NC 28204: Relocate with an employer provided relocation package (Preferred)

Work Location: In person